MatSqrtInverse

Estimate different types of cluster robust standard errors (CR0, CR1, CR2) with degrees of freedom adjustments. Standard errors are computed based on 'Liang and Zeger' (1986) <doi:10.1093/biomet/73.1.13> and Bell and 'McCaffrey' <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2002002/article/9058-eng.pdf?st=NxMjN1YZ>. Functions used in Huang and Li <doi:10.3758/s13428-021-01627-0>, Huang, 'Wiedermann', and 'Zhang' <doi:10.1080/00273171.2022.2077290>, and Huang, 'Zhang', and Li (forthcoming: Journal of Research on Educational Effectiveness).

Francis Huang

Compute Cluster Robust Standard Errors with Degrees of Freedom
Adjustments

Bixi Zhang

MatSqrtInverse function

<dl><dt>A</dt>
<dd>The matrix object.</dd></dl>

Arguments

Compute the inverse square root of a matrix — MatSqrtInverse

<dl>

<dt>A</dt>
<dd>The matrix object.</dd>

</dl>

MatSqrtInverse: Compute the inverse square root of a matrix

Description

Usage

Value

Arguments